🏷️ agentic-workflows

> Education AI is shifting from passive chatbots to **proactive agents** that initiate and pursue goals. This offers personalisation but risks undermining **learner agency and cognitive effort**. The …

2026-08-03 · agentic-ai, educational-theory, scaffolding, formative-assessment, metacognition

> **ISD-Agent-Bench** is a comprehensive benchmark for evaluating LLM-based instructional design agents, comprising **25,795 scenarios** generated via a Context Matrix framework that combines 51 conte…

2026-07-29 · agentic-ai, ai-ed-evaluation, benchmark, rag, llm

Through Brazilian government case studies, demonstrates that a four-layer pedagogical methodology (Literacy, Protocol, Prompt Engineering, Audit) is the key to productivity gains (up to 50%), rather t…

2026-06-02 · ai-literacy, public-sector, training-methodology, efficacy-study, prompt-engineering

Formalizes Agentic Software Engineering (ASE) as a distinct discipline. Proposes a 21-module curriculum focused on the "evolution of intent" and practitioner discipline required to manage agents rathe…

2026-06-02 · agentic-ai, ai-literacy, curriculum-design, higher-ed, software-engineering

> Experimental study comparing Guided vs. Unrestricted LLM access. Explicit training in reasoning-focused scaffolding (stepwise hints, verification) led to significantly better independent performance…

2026-06-02 · intelligent-tutoring, scaffolding, higher-ed, metacognition, prompt-engineering

> Identifies interaction signatures of LLM literacy using Epistemic Network Analysis (ENA) on logs from 162 students. High-literacy students exhibit iterative, strategic refinement and dense cognitive…

2026-06-02 · ai-literacy, higher-ed, learning-analytics, prompt-engineering, writing-education

Teachers virtually never test AI tutoring bots before student deployment; PromptDecipher enforces QA as a first-class activity by letting teachers edit bot responses directly. PromptDecipher addresses…

2026-05-19 · intelligent-tutoring, llm, teacher-role, faculty-development, edtech-platform

> Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows **Chen et al. (2026)** — Multiple institutions. Under review.…

2026-05-15 · agentic-ai, benchmark, generative-ai, intelligent-tutoring, llm

This paper presents a workflow-aligned framework for preparing students to use AI in materials discovery. The authors argue that in materials science, the limiting factor is no longer only algorithmic…

2026-05-12 · ai-literacy, curriculum-design, equity, metacognition, stem-education

Generative AI can help teachers rapidly create classroom-ready visual materials, particularly in mathematics where diagrams and visual representations must be **pedagogically meaningful and instructio…

2026-05-12 · teacher-role, stem-education, ai-generated-content, curriculum-design, pedagogy

> A pedagogical model where human mentors and AI tools jointly support student learning in project-based contexts. Human mentors provide conceptual guidance, debugging, and problem formulation support…

2026-05-09 · stem-education, k-12, higher-ed, active-learning, scaffolding

> While LLMs are increasingly used as teaching assistants, their teaching capability remains insufficiently evaluated — a critical gap in current AIED research. > Syllabus-grounded framework for measu…

2026-05-08 · llm, benchmark, formative-assessment, personalized-learning, feedback-loop

> When LLMs process STEM problems that require interpreting diagrams, graphs, or schematics alongside text, their accuracy degrades substantially. This effect is: > General-purpose LLMs achieve near-c…

2026-05-07 · llm, intelligent-tutoring, stem-education, higher-ed, k-12